Prescribed-Time Distributed Control of Shield Machine Cutterhead Drive System

In this paper, we focus on the six-motor consensus control of the shield machines cutterhead. Due to the cutterhead's large diameter and the substantial cutting resistance that needs to be overcome, multiple motors are required to drive its rotation collectively. To ensure uniform mechanical stress distribution, precise consensus control of these six drive motors is essential. First, adopting a distributed control approach reduces the computational demands on the system. Second, we design a time function to achieve prescribed-time consensus control in the cutterhead drive system. Finally, simulations demonstrate that the six drive motors achieve consensus control with high stability and reliability. This study provides robust support for practical engineering applications.

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Publication Details

Published
2025-05-17
DOI
https://doi.org/10.1109/yac66630.2025.11149695
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Prescribed-Time Distributed Control of Shield Machine Cutterhead Drive System

Iterative Learning Control Systems
article

Prescribed-Time Distributed Control of Shield Machine Cutterhead Drive System

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Abstract

In this paper, we focus on the six-motor consensus control of the shield machines cutterhead. Due to the cutterhead's large diameter and the substantial cutting resistance that needs to be overcome, multiple motors are required to drive its rotation collectively. To ensure uniform mechanical stress distribution, precise consensus control of these six drive motors is essential. First, adopting a distributed control approach reduces the computational demands on the system. Second, we design a time function to achieve prescribed-time consensus control in the cutterhead drive system. Finally, simulations demonstrate that the six drive motors achieve consensus control with high stability and reliability. This study provides robust support for practical engineering applications.

Yanshan University (CN), Institute of Electrical Engineering (CN), Shijiazhuang Tiedao University (CN)
Affordable and clean energy
Openalex Percentile: Top 43%
Iterative Learning Control Systems
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